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brainGraph (version 0.72.0)
small.world: Calculate graph small-worldness
Description
This function will calculate the characteristic path length and clustering coefficient, which are used to calculate small-worldness.
Usage
small.world(g, rand)
Arguments
g
The graph (or list of graphs) of interest
rand
List of (lists of) equivalent random graphs (output from
sim.rand.graph.par
)
Value
A data frame with the following components: A data frame with the following components:
References
Watts D.J., Strogatz S.H. (1998)
Collective dynamics of 'small-world' networks
. Nature, 393:440-442.